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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analysis to identify business problems and develop actionable insights, driving user activation, product adoption, and revenue growth through effective campaign management and collaboration with cross-functional teams.
Highest-signal resume keywords
Data AnalysisGrowth MarketingSQLCampaign ManagementAI Utilization
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisKPI DevelopmentUser SegmentationWorkflow AutomationCampaign BuildingProduct Adoption StrategiesRetention StrategiesChurn RecoveryIncremental Revenue MeasurementFunnel Analysis
Soft Skills
Analytical ThinkingProblem-SolvingCommunicationAutonomyBusiness Judgment
Tools & Technologies
DashboardsCRM SystemsData Analytics ToolsAutomation ToolsPrototyping Tools
Industry Keywords
Product MarketingLifecycle MarketingUser ActivationEngagementCohort Analysis
Tech Stack
Tools & technologiesSQL
About the role
Key responsibilities & impact- Independently identify business problems through data analysis.
- Develop hypotheses and define KPIs to improve.
- Build and launch end-to-end growth and product marketing campaigns.
- Drive activation, product adoption, retention, churn recovery, and incremental revenue.
- Analyze campaign impact and iterate based on results.
- Build user analyses, segments, workflows, automations, and tools.
- Collaborate with Product, Data, Engineering, CRM, Design, and other teams to ship initiatives.
- Present opportunities, business cases, results, and trade-offs to C-level stakeholders and the Board.
Requirements
What you’ll need- Find problems through data by analyzing funnels, cohorts, retention, churn, activation, monetization, and product usage.
- Turn data findings into hypotheses, KPIs, campaigns, experiments, or projects.
- Build and launch initiatives for user activation, product adoption, retention, churn recovery, and incremental revenue.
- Measure incremental impact, learn from results, and iterate.
- Navigate dashboards, build analyses, segment users, and answer questions with data; SQL is a strong plus.
- Identify repetitive or inefficient processes and create workflows, automations, or tools.
- Use AI daily to analyze, research, prototype, automate, build, and execute.
- Work across Product, Data, Engineering, CRM, Design, and other teams.
- Communicate opportunities, business cases, results, and trade-offs to C-level stakeholders and the Board.
- Strong experience across Growth, Product Marketing, Lifecycle, or similar roles.
- Highly analytical and curious about why metrics move.
- Ability to independently progress from data to insight to hypothesis to execution to impact.
- Experience building campaigns across activation, engagement, retention, churn, and reactivation.
- Strong business judgment and understanding of KPIs and revenue.
- High autonomy, problem-solving ability, and comfort executing directly in tools.
- Bias toward shipping and iterating.
- Active use of AI and drive to automate or improve work.
- Ability to operate effectively with senior and C-level stakeholders.